Data Engineering Software Developer – SME

The Amatriot Group

. Design, build, and maintain scalable data systems and pipelines for complex data sources .

Posted 9/29/2026full-timeUnited StatesSeniorLead💰 $235,000 - $265,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data systems, including ETL/ELT pipelines and data warehouses, while ensuring data quality and compliance with DoD and DISA standards. Proficient in utilizing tools such as Kafka, Elastic Stack, and AWS for data integration and processing.

Highest-signal resume keywords

Active TS/SCI Security ClearanceCurrent Security+ CertificationETL/ELT Data Pipeline DevelopmentElastic Stack and Kafka ExperienceAWS Data Warehousing Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT Pipeline DevelopmentData Warehouse ManagementData Lake ManagementPython ProgrammingJava ProgrammingSQL ProficiencyShell ScriptingLinux/UNIX System AdministrationData Quality AssuranceData Security Compliance

Soft Skills

CollaborationTroubleshootingDocumentation

Tools & Technologies

KafkaElastic StackAWSRed Hat OpenShiftKubernetesGitBitbucketCI/CD PipelinesKibanaReact

Certifications & Qualifications

Security+ CertificationTS/SCI Security Clearance

Industry Keywords

DoD ComplianceDISA RequirementsRMFSTIGNetwork Operations Data

Tech Stack

Tools & technologies

Amazon RedshiftAWSETLHadoopJavaJavaScriptKafkaKubernetesLinuxLogstashOpenShiftPythonReactShell ScriptingSQLTypeScriptUnix

About the role

Key responsibilities & impact

Design, build, and maintain scalable data systems and pipelines for complex data sources
Integrate network operations data into consistent, accessible platforms
Create and maintain Kafka, Elastic, and Logstash ingestion and processing pipelines
Automate ETL/ELT, data validation, cleansing, monitoring, and data-processing activities
Implement data solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift/Kubernetes
Develop and manage data warehouses and data lakes
Support Kibana dashboards and visualizations using React, JavaScript, and HTML
Analyze and optimize ingestion throughput, query performance, indexing, storage efficiency, and cluster performance
Troubleshoot data ingestion, processing, storage, memory, partitioning, and performance issues
Ensure data quality, security, and compliance with DoD and DISA requirements
Support CI/CD pipelines, version control, and DevOps workflows
Collaborate with analysts, visualization engineers, software developers, and stakeholders
Document data architecture, integrations, configurations, procedures, and runbooks

Requirements

What you’ll need

Active TS/SCI security clearance
Current Security+ certification or higher/equivalent certification
Bachelor’s degree in Computer Science, Engineering, or related technical discipline with 12+ years of relevant experience, or Master’s degree in the same fields with 10+ years of relevant experience
Hands-on experience designing, building, and maintaining ETL/ELT data pipelines and integrating disparate data sources
Experience with data warehouses/data lakes such as AWS Redshift, Amazon S3, Hadoop, Snowflake, or similar
Experience with Elastic Stack and/or Kafka
Experience with Linux/UNIX system administration and automation
Experience with CI/CD pipelines, containerized pipelines, Git, Bitbucket, and DevOps practices
Familiarity with network operations data, including logs, metrics, events, ticketing, and CMDB data
Proficiency in Python, Java, SQL, and shell scripting
Knowledge of data security, access controls, and DoD, DISA, RMF, and STIG requirements
Willingness and ability to complete and maintain additional customer suitability screenings